Optimasi Antrean Layanan Pengumpulan Formulir Samsat Tandes Surabaya Barat Berbasis Simulasi

Authors

  • Emanuel Necko Universitas Katolik Widya Mandala Surabaya
  • Bagas Arjuna Universitas Katolik Widya Mandala Surabaya

DOI:

https://doi.org/10.55606/jurritek.v4i1.5231

Keywords:

Public Service, Service Optimization, Samsat, Simulation, Queuing system

Abstract

The vehicle ownership transfer form submission service at the Samsat Tandes Office in West Surabaya is a vital public service that frequently encounters issues such as long queues and extended waiting times. These conditions lead to user dissatisfaction and reduce the operational efficiency of the institution. This study aims to optimize the existing queuing system through a simulation-based approach to enhance service effectiveness and efficiency. The methodology includes mapping the current service process, collecting data on service times and customer arrivals, and modeling the queuing system using simulation software. Subsequently, several improvement scenarios were analyzed, including the addition of server resources. The simulation results indicate that the scenario involving the addition of one extra server during peak hours yields the most significant impact—reducing average customer waiting time by up to 20% and increasing the number of customers served per day. These findings demonstrate that simple interventions based on simulation analysis can produce substantial improvements in public service quality. In conclusion, a simulation-based approach proves to be effective in supporting strategic decision-making for queue system optimization and is highly recommended for implementation in other public service units facing similar challenges.

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References

Altiok, T., & Melamed, B. (2001). Simulation modeling and analysis with Arena. Academic Press.

Banks, J., Carson II, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall.

Chwif, L., & Medina, A. C. (2010). Modeling and simulation of discrete-event systems. Springer.

Gross, D., & Harris, C. M. (1998). Fundamentals of Queueing Theory (3rd ed.). Wiley-Interscience.

Kelton, W. D., Sadowski, R. P., & Zupick, N. B. (2015). Simulation with Arena (6th ed.). McGraw-Hill Education.

Kurniawan, A. (2019). Analisis Sistem Antrean Pelayanan Publik Menggunakan Pendekatan Simulasi Diskrit. Jurnal Rekayasa Sistem Industri, 8(1), 45–52.

Law, A. M. (2014). Simulation Modeling and Analysis (5th ed.). McGraw-Hill.

Mustofa, A. (2017). Penerapan Simulasi Arena dalam Optimalisasi Sistem Pelayanan Publik: Studi Kasus Pelayanan SIM. Jurnal Teknologi dan Sistem Komputer, 5(2), 88–94.

Pidd, M. (2004). Computer simulation in management science (5th ed.). Wiley.

Rossetti, M. D. (2015). Simulation modeling and Arena (2nd ed.). Wiley.

Smith, J. S., & Peters, B. A. (1998). Discrete-event simulation: A model and a computer. Proceedings of the 1998 Winter Simulation Conference, 69–76. https://doi.org/10.1109/WSC.1998.745909

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.

Suryani, E., & Ramadhani, R. (2017). Simulasi sistem antrian pelayanan kesehatan di puskesmas dengan pendekatan simulasi Arena. Jurnal Rekayasa dan Manajemen Sistem Informasi, 3(2), 129–138. https://doi.org/10.15408/jrmsi.v3i2.10245

Sutrisno, E. (2011). Manajemen operasional: Konsep, strategi dan aplikasi. Kencana Prenada Media Group.

Wainer, G. A. (2009). Discrete-event modeling and simulation: A practitioner's approach. CRC Press.

Widodo, A., & Prasetyo, Y. (2020). Analisis Sistem Antrian Pelayanan Menggunakan Simulasi Discrete Event dengan Software Arena. Jurnal Teknologi dan Manajemen Informatika, 6(1), 11–20.

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Published

2025-06-03

How to Cite

Emanuel Necko, & Bagas Arjuna. (2025). Optimasi Antrean Layanan Pengumpulan Formulir Samsat Tandes Surabaya Barat Berbasis Simulasi. JURAL RISET RUMPUN ILMU TEKNIK, 4(1), 611–627. https://doi.org/10.55606/jurritek.v4i1.5231

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